Runbooks on demand
During an incident, ask how to fail over the queue and get the steps from the runbook, cited to the page.
Search and read wiki pages.
Search pages, read a page as text, list spaces. Runbooks and policies become citable answers.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Confluence tool, reads what it needs, and answers with the source cited.
During an incident, ask how to fail over the queue and get the steps from the runbook, cited to the page.
Ask what the expenses policy says about hotels and get the answer with the page it came from.
Questions people ask once Confluence is connected. In agent mode each one also checks the other systems that know about the same people, companies or identifiers.
Teams that get the most from Confluence in Memtro, with the rest of their stack attached.
A record in Confluence is rarely the whole story. Connect the systems that hold the rest and the agent cross-references them by default, then remembers what it learned so the next question starts further along.
Using something else for the same job, or both? Each connector has its own tools; connect as many as you like.
Chat in the dashboard, the OpenAI-compatible API, scheduled jobs, and any MCP client: Claude Code, OpenCode, Cursor, Claude Desktop. The Confluence tools are the same everywhere.
Clients and agents →Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.